CRAN/E | sda

sda

Shrinkage Discriminant Analysis and CAT Score Variable Selection

Installation

About

Provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.

strimmerlab.github.io/software/sda/

Key Metrics

Version 1.3.8
R ≥ 3.0.2
Published 2021-11-21 1051 days ago
Needs compilation? no
License GPL (≥ 3)
CRAN checks sda results

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Maintainer

Maintainer

Korbinian Strimmer

Authors

Miika Ahdesmaki
Verena Zuber
Sebastian Gibb
Korbinian Strimmer

Material

NEWS
Reference manual
Package source

In Views

MachineLearning

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

sda archive

Depends

R ≥ 3.0.2
entropy ≥ 1.3.1
corpcor ≥ 1.6.10
fdrtool ≥ 1.2.17

Imports

graphics
stats
utils

Suggests

crossval

Enhances

care

Reverse Depends

st

Reverse Imports

FADA

Reverse Suggests

crossval
discrim
fscaret
mlr

Reverse Enhances

care